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» Predictive user click models based on click-through history
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WEBI
2009
Springer
13 years 12 months ago
In the Mood to Click? Towards Inferring Receptiveness to Search Advertising
Abstract—We present a method for modeling, and automatically inferring, the current interest of a user in search advertising. Our task is complementary to that of predicting ad r...
Qi Guo, Eugene Agichtein, Charles L. A. Clarke, Az...
WWW
2009
ACM
14 years 6 months ago
Click chain model in web search
Given a terabyte click log, can we build an efficient and effective click model? It is commonly believed that web search click logs are a gold mine for search business, because th...
Anitha Kannan, Chao Liu 0001, Christos Faloutsos, ...
WAIM
2009
Springer
13 years 12 months ago
Personalized Delivery of On-Line Search Advertisement Based on User Interests
Search engine advertising has become the main stream of online advertising system. In current search engine advertising systems, all users will get the same advertisement rank if t...
Guangyi Xiao, Zhiguo Gong
WWW
2008
ACM
14 years 6 months ago
Characterizing typical and atypical user sessions in clickstreams
Millions of users retrieve information from the Internet using search engines. Mining these user sessions can provide valuable information about the quality of user experience and...
Narayanan Sadagopan, Jie Li
WEBNET
2000
13 years 6 months ago
Models for User Access Patterns on the Web: Semantic Content versus Access History
: This work focuses on clustering a site into groups of documents that are predictive of future user accesses. Two approaches have been developed and tested. The first approach use...
Arun Ross, Charles B. Owen, Aditya Vailaya